We make building AI simpler.
For everyone.
AI infrastructure is fragmented.
Built for humans, not machines.
We have data warehouses, data lakes, and lake houses. REST APIs and GraphQL endpoints. All built by humans, for humans to navigate and understand.
But AI doesn't need the same infrastructure we needed. Agents need instant, semantic access to relevant knowledge — not complex APIs or unstructured data dumps.
The tooling around AI is still young. MCP, A2A, and similar standards are emerging — but the infrastructure layer is wide open.
We're building what's missing.
Fragmented Tools
TodayEvery team rebuilds the same RAG pipeline from scratch. Vector DBs, chunking, embeddings — weeks of work before shipping anything.
Protocol Standards
EmergingMCP and A2A are unifying how agents talk to data. But protocols need infrastructure to run on.
Unified Infrastructure
TomorrowAI-native knowledge layers as standard. Plug in, query, ship. That's what we're building.
What we believe
Simplicity wins
Complex systems break. We'd rather ship something that just works than something impressive that's hard to use.
Builders deserve better
AI infrastructure shouldn't require a dedicated ML team. If it's hard, we haven't finished our job.
Radical transparency
Open pricing. Honest docs. If something's broken, we'll tell you.
Start small, scale big
You shouldn't need enterprise contracts to experiment. Build first, grow when you're ready.
Eddie Hudson
Founder, Orchata Labs
I've been building software since programming games into TI-83 calculators in the 90s. Ran and sold a software dev shop, shipped over 200 projects, and saw a pattern: every AI feature needed the same infrastructure. Orchata is my bet on what that infrastructure should look like.
Want to chat?
We'd love to hear from you.
Whether you have questions, feedback, or just want to talk about AI infrastructure.